• Applied Biological Chemistry
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• v.44 no.1
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• pp.7-11
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• 2001

The distribution of procymidone in a small vinyl house containing cucumber plants or mimic plants was investigated after application of smoke generator. The deposition of procymidone on glass plate and filter paper was significantly similar to that on cucumber leaves, so that glass plate and filter paper could be substituted for cucumber leaves on deposition studies. The deposition of procymidone was proportional to the horizontally projected area of surface; the deposition on the horizontal surface was maximal, and the deposition was minimal for the perpendicular surface. The amount of deposition on the backside of leaf was less than 5% compared to that on the horizontal surface of leaf. The height of leaf from the floor was not a significant factor influencing on the deposition of procymidone whether leaves were overlapped or not. However, the deposition of procymidone on the overlapped leaves was relatively less than that on the unoverlapped leaves. And the deposition difference depending on the distance between leaves was not observable. Overall, the deposition of procymidone was proportionally increased with the application rate of smoke generator, but the deposition was inversely related to the sum of the total horizontal leaf area of mimic plants and the surface area of floor.

• Journal of the Korea Convergence Society
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• v.11 no.12
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• pp.39-47
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• 2020

In this paper, we proposed a deep learning-based detection method using Saliency Attention to detect salient objects in images. The salient object detection separates the object where the human eye is focused from the background, and determines the highly relevant part of the image. It is usefully used in various fields such as object tracking, detection, and recognition. Existing deep learning-based methods are mostly Autoencoder structures, and many feature losses occur in encoders that compress and extract features and decoders that decompress and extend the extracted features. These losses cause the salient object area to be lost or detect the background as an object. In the proposed method, Saliency Attention is proposed to reduce the feature loss and suppress the background region in the Autoencoder structure. The influence of the feature values was determined using the ELU activation function, and Attention was performed on the feature values in the normalized negative and positive regions, respectively. Through this Attention method, the background area was suppressed and the projected object area was emphasized. Experimental results showed improved detection results compared to existing deep learning methods.

• Journal of the Korea Institute of Military Science and Technology
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• v.11 no.2
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• pp.136-143
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• 2008

A three-wavelength solar bank is a very important part for a solar simulator with commercial superlux lamps. It is projected metal halide lamps to satisfy following points simultaneously: $\pm$10% of uniformity for irradiance of target area and irradiance in each wave region, and $1,232W/m^2$ of maximum solar irradiance in summer. The developed solar lamp bank has been analyzed numerically by commercial programs in this study to carry out experiments. In conclusion, designed B-type heat lamp is not concentrated in one place than designed A-type heat lamp, it is spreaded widely, and it was proved numerical computation. We suggest that solar simulator is applied to actual experiment test through heat flow numerical analysis in solar lamp bank and the lamp is applied private industry or the military using complex environmental assessment test.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.28 no.2
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• pp.161-168
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• 2015

Horizontally curved bridges are subjected to torsional loads by their vertical dead loads only as well as eccentric loads, which cause negative reactions at supports. In this paper, effects of bridge curvature on vertical reactions at supports are investigated for 48.8 m length simple span steel box girder bridges with elastomeric bearings by varying curvature angle from 0.49 to 1.35 rad. In order to expect magnitude and direction of reactions including possibility of negative reactions, reaction evaluation equations have been analytically developed by separating a superstructure of curved bridge into independent components. Concrete slabs and bottom flanges in steel box section are assumed geometrical annular sectors in area dimension, and top flanges and webs that have very narrow projected areas are assumed geometrical arcs in line dimension. Proposed equations have relatively simple forms and prediction values are on very good agreement with those from finite element analyses by difference of 1% order.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.40 no.12
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• pp.777-784
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• 2016

All-vanadium redox flow batteries (VRFBs) are used as energy storage systems for multiple intermittent power sources. The performance of the VRFBs depends on the materials and operating conditions. Hence, performance characterization is of great importance in the development of the VRFBs. This paper proposes a method for determining the maximum current density based on stoichiometric ratios. A laboratory-scaled VRFB with a projected electrode area of $25cm^2$ is electrically charged when the state of the charge has begun from 0.6. The operating conditions, such as current density and volumetric flow rate are important in the test, and the maximum current density is influenced by the mass transfer coefficient. The results show that increasing the electrolyte flow rate from 5 mL/min to 60 mL/min enhances the maximum current density up to $520mA/cm^2$.

• Journal of the Korea Fashion and Costume Design Association
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• v.19 no.4
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• pp.1-15
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• 2017

The aim of this study is to plan a design that satisfies consumer needs by forecasting future properties following changes of gauge in basic Jacquard structure and to provide helpful data for a variety of knit-wear development. Four basic Jacquard knit samples (Normal Jacquard, Bird's eye Jacquard, Floating Jacquard, Tubular Jacquard) were selected and projected by using three types of gauges (7G, 12G, 14G) with an SES-122S type Computer Knitting machine of Shimaseiki MFG. Twelve different types of samples with Jacquards and gauges were tested on a flat table by measuring the course and wale in a 1cm area to calculate the gauge of samples. The mechanical properties of 12 types of Jacquard samples were measured using KES-FB (Kawabata Evaluation System for Fabric, Kata Tech Co. Ltd). As the result of comparing the number of patterns, courses and wales depending on the change of gauge of the basic Jacquard structure, it was observed that the number of patterns per specific length, course and wale has increased from 7G to 14G, a high-gauge. According to objective research regarding Jacquard structure, 7G Tubular Jacquard, which is low gauge, seems to be suitable for masculine design as it is heavy and thick, and has rigid and rough texture due to a high level of flexural strength and shear property. 14G Floating Jacquard, which is high gauge, seems to be suitable for feminine, silhouette design as it is light, thin, soft, flexible and has high drape. The result of this study provides a theoretical foundation for knit-wear development considering basic Jacquard structure and gauge-specific properties. This study can be used to provided directions for the development of knit industry.

• Imaging Science in Dentistry
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• v.49 no.4
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• pp.265-272
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• 2019

Purpose: To compare the diagnostic accuracy of cone-beam computed tomography (CBCT) with that of parallel(PPA) and oblique projected periapical(OPA) radiography for the detection of different types of peri-implant bone defects. Materials and Methods: Forty implants inserted into bovine rib blocks were used. Thirty had standardized bone defects(10 each of angular, fenestration, and dehiscence defects), and 10 were defect-free controls. CBCT, PPA, and OPA images of the samples were acquired. The images were evaluated twice by each of 2 blinded observers regarding the presence or absence and the type of the defects. The area under the receiver operating characteristic curve (AUC), sensitivity, and specificity were determined for each radiographic technique. The 3 modalities were compared using the Fisher exact and chi-square tests, with P<0.05 considered as statistical significance. Results: High inter-examiner reliability was observed for the 3 techniques. Angular defects were detected with high sensitivity and specificity by all 3 modalities. CBCT and OPA showed similar AUC and sensitivity in the detection of fenestration defects. In the identification of dehiscence defects, CBCT showed the highest sensitivity, followed by OPA and PPA, respectively. CBCT and OPA had a significantly greater ability than PPA to detect fenestration and dehiscence defects(P<0.05). Conclusion: The application of OPA radiography in addition to routine PPA imaging as a radiographic follow-up method for dental implantation greatly enhances the visualization of fenestration and dehiscence defects. CBCT properly depicted all defect types studied, but it involves a relatively high dose of radiation and cost.

• Journal of Environmental Impact Assessment
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• v.23 no.2
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• pp.101-111
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• 2014

The research was carried out in order to find climate factors which determine the distribution of Neolitsea sericea, and the potential habitats (PHs) under the current climate and three climate change scenario by using species distribution models (SDMs). Four climate factors; the minimum temperature of the coldest month (TMC), the warmth index (WI), summer precipitation (PRS), and winter precipition (PRW) : were used as independent variables for the model. Three general circulation models under A1B emission scenarios were used as future climate scenarios for the 2050s (2040~2069) and 2080s (2070~2099). Highly accurate SDMs were obtained for N. sericea. The model of distribution for N. sericea constructed by SDMs showed that minimum temperature of the coldest month (TMC) is a major climate factor in determining the distribution of N. sericea. The area above the $-4.4^{\circ}C$ of TMC revealed high occurrence probability of the N. sericea. Future PHs for N. sericea were projected to increase respectively by 4 times, 6.4 times of current PHs under 2050s and 2080s. It is expected that the potential of N. sericea habitats is expanded gradually. N. sericea is applicable as indicator species for monitoring in the Korean Peninsula. N. sericea is necessary to be monitored of potential habitats.

• Geophysics and Geophysical Exploration
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• v.13 no.3
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• pp.295-300
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• 2010

Recently, many tsunamis triggered by impulsive undersea ground motions occurred in subduction zones around the Pacific Ocean area including the East Sea surrounded by Korea, Japan and Russia. The wave height of a tsunami may be in the order of several meters, while the wavelength can be up to 1,000 km in the ocean, where the average water depth is about 4 km. A tsunami could cause a severe coastal flooding and property damage not only at neighboring countries but also at distant countries. A fundamental and economic way to mitigate unusual tsunami attacks is to construct tsunami hazard maps along coastal areas vulnerable to tsunami flooding. These maps should be developed based on the historical tsunami events and projected scenarios. The map could be used to make evacuation plans in the event of a real tsunami assault.

• Journal of Biosystems Engineering
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• v.31 no.6 s.119
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• pp.514-523
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• 2006

Production of green pepper has been increased due to customer's preference and a projected ten-year boom in the industry in Korea. This study was carried out to develop an automatic grading and sorting system for green pepper using machine vision. The system consisted of a feeding mechanism, segregation section, an image inspection chamber, image processing section, system control section, grading section, and discharging section. Green peppers were separated and transported using a bowl feeder with a vibrator and a belt conveyor, respectively. Images were taken using color CCD cameras and a color frame grabber. An on-line grading algorithm was developed using Visual C/C++. The green peppers could be graded into four classes by activating air nozzles located at the discharging section. Length and curvature of each green pepper were measured while removing a stem of it. The first derivative of thickness profile was used to remove a stem area of segmented image of the pepper. While pepper is moving at 0.45 m/s, the accuracy of grading sorting for large, medium and small pepper are 86.0%, 81.3% and 90.6% respectively. Sorting performance was 121 kg/hour, and about five times better than manual sorting. The developed system was also economically feasible to grade and sort green peppers showing the cost about 40% lower than that of manual operations.